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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 328 · 40 questions
TalentJR

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

NameDateTime takenScore ___ / 40
  1. 1.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  3. 3.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) flagging a new email (d) naming a new leaf
  4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  5. 5.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  7. 7.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
  8. 8.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) past weather records (d) tomorrow’s rain guess
  9. 9.True or false: “what training builds” is the model. (a) True (b) False
  10. 10.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  11. 11.True or false: “labelled fruit photos” is training data. (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  13. 13.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) the learned patterns (d) recorded spoken words
  14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  19. 19.True or false: “old emails marked spam” is training data. (a) True (b) False
  20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  21. 21.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  23. 23.True or false: “past weather records” is training data. (a) True (b) False
  24. 24.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) the learned patterns (d) old emails marked spam
  25. 25.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  29. 29.Which of these is training data? (a) what training builds (b) naming a new leaf (c) past weather records (d) the trained program
  30. 30.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  31. 31.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  34. 34.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
  36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  37. 37.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  38. 38.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  39. 39.True or false: “what training builds” is training data. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds

Answer key

  1. it learns patterns
  2. a prediction
  3. the learned patterns
  4. training data
  5. the learned patterns
  6. a prediction
  7. labelled fruit photos
  8. tomorrow’s rain guess
  9. True
  10. the learned patterns
  11. True
  12. training data
  13. naming a new fruit photo
  14. training data
  15. the trained program
  16. training data
  17. a prediction
  18. what training builds
  19. True
  20. what training builds
  21. recorded spoken words
  22. the model
  23. True
  24. old emails marked spam
  25. what training builds
  26. the model
  27. the trained program
  28. the learned patterns
  29. past weather records
  30. data, model, prediction
  31. what training builds
  32. training data
  33. 500 labelled leaf photos
  34. True
  35. 500 labelled leaf photos
  36. the learned patterns
  37. to see if it works
  38. True
  39. False
  40. 500 labelled leaf photos

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